Analysis and Study of the Steel Plate Surface Defects Image Processing and the Fractal Dimension Characteristics

Article Preview

Abstract:

Steel surface defect detection is the key point of this research. The paper mainly focuses on the image processing and image feature extraction of the steel plate surface. The paper also focuses on the calculating procedure and results of the fractal dimension in different defects images. It can be concluded from the results of the study, fractal dimension of the defect images becomes an important feature of the steel plate surface image pattern recognition.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 482-484)

Pages:

1773-1776

Citation:

Online since:

February 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] C Dement, B Streicher-Abel, P Waszkewitz. Industrial Image Processing: Visual Quality Control in Manufacturing. New York: springer.(1999)

Google Scholar

[2] German Iron and Steel Institute: Metal Strip Pictures of the Surface Defects. (2000)

Google Scholar

[3] A.S. Pandya, R.B. Macy: Neural Network Pattern Recognition and its Implementation. Publishing House of Electronics Industry. Beijing. In Chinese (1999)

Google Scholar

[4] Zhou Xinlun: Digital Image Processing. Higher Education Press. Beijing.In Chinese(1993)

Google Scholar

[5] Bian Zhaoqin, Zhang Xuegong: Pattern Recognition. Tsinghua University Press. Beijing. In Chinese(2010)

Google Scholar

[6] Shenqing, Tanglin. Introduction to Pattern Recognition. National University of Defence Technology Press.Changsha. In Chinese(1998)

Google Scholar